An investigation on wear properties of SiC/WC strengthened aluminium alloy hybrid composites

Jayakanth, J.J.; Mamidi, Vamsi Krishna; Pugazhenthi, R.; Anbuchezhiyan, G.; Ponshanmugakumar, A.

doi:10.1016/j.matpr.2020.12.416

Cited by 15 publications

(7 citation statements)

References 14 publications

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“…Minimal surface roughness of plain AA7475 was found to be 0.51 µm and for AA7475 +5%wt Fly ash it was found to be 0.38 µm Also other parameters which were influencing which is similarly stated [14] and agreed with this research. Because of the rapid cutting speed, low feed rate, and shallow depth of cut [15], which is also acceptable, the composite's surface roughness was compared with actual.…”

Section: Discussionmentioning

confidence: 99%

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An analysis on CNC machined surface roughness between AA7475 and AA7475/fly ash composite

Yahul

Saravanan

2023

J. Phys.: Conf. Ser.

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The present investigation is the influence of limited reinforcement of fly ash (5 wt%) effects on surface roughness. In this regard, the fly Ash reinforced aluminium alloy (AA7475) composite was prepared and machined and measured the surface roughness to compared to aluminium alloy (AA7475). The sample size is 32 (16 for each tool) with 95% CI pre-test power 80% was used. The surface grinding operation is used to remove surface abnormalities. These pieces are machined in specific contour milling and are performed with different tools. Machined specimens are tested using a profilometer for calculating surface roughness and it was performed according to ASTM D3039 standards. The findings suggested that the plain aluminium alloy (AA7475) had a surface roughness of 0.51 mm and the composite aluminium alloy (AA7475) reinforced with 5 wt% fly ash had a surface roughness of 0.38 mm. The statistical value analysis yielded a significance value of 0.034 (p>0.05), indicating that there was substantial variation across the groups. In this research investigation, it was found that the surface roughness of a composite made of a 5 wt% fly ash augmented aluminium alloy (AA7475) was 32.27% lower than that of a plain aluminium alloy.

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Section: Discussionmentioning

confidence: 99%

“…4. The 5%wt Fly ash reinforced AA7475 composite material was cut into pieces of 20x20 mm dimensions and a hole was drilled with the help of CNC machining [12]. Drilling was carried out with a 10 mm High speed steel 3 shows casted composite of AA7475 and 5%wt Fly ash which were cut into dimensions of 20 x 20 mm samples.…”

Section: Methodsmentioning

confidence: 99%

An analysis on CNC machined surface roughness between AA7475 and AA7475/fly ash composite

Yahul

Saravanan

2023

J. Phys.: Conf. Ser.

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“…Additionally, the natural fillers' surfaces, including those made of jute fibre and eggshell powder, were cleaned [20]. The existing lignin and hemicellulose were eliminated [21]. there was a considerable decrease in the number of OH functional groups on the surface of natural fibres.…”

Section: Discussionmentioning

confidence: 99%

Effect of Al₂O₃ filler in GFRP/banana fiber composite for CNC vertical milling

Kumar

Anbuchezhiyan

2023

J. Phys.: Conf. Ser.

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This study examines the drilling characteristics on GFRP/Banana fiber composite without and with use of Al2O3 filler used in fabrication. of an epoxy-based glass fiber reinforced polymer with and without filler made of banana fiber and aluminum oxide powder. hand layup technique employed in fabricating Three kinds of polymer composites. Pre-test G power for testing was set at 80%, Alpha was set at 0.05%, and CL was set at 95%. This number of samples for each group was then determined. Three groups of nine samples each are used to experiment at CNC and MRR performance evaluated. Controlled variables were feed, drill diameter and spindle speed. The test findings were examined and contrasted using a one-way ANOVA test. The end outcome is MRR. To compare the rates of samples with and without fillers, test data were employed. Software called SPSS V16 was used to determine how significant the results were. A significant level of p0.05 was obtained from the statistical value analysis. The machinability of proposed composite is found good in terms of MRR. That MRR 9.89% fpund excess than machining of plain GFRP. In a similar vein, it was discovered that machining of alkaline-treated glass fiber/banana fibre composite found increase of 14.99% than plain GFRP laminate.

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“…Response Surface Methodology (RSM) associates the procedures of statistical tools and optimization through appropriate model [26] RSM is usually projected for identifying the ideal condition after initial screening where the responses are related only towards the significant input parameters. The results obtained are applied suitably for performing experimental investigation by adopting RSM through the inclusion of replications of data points, with the development of a suitable empirical model [27]. For m input factors x1, x2K xm, the effective association between the output response and m input conditions be represented as:…”

Section: Response Surface Methodologymentioning

confidence: 99%

Parametric analysis on drilling of aluminium alloy hybrid composites reinforced with SIC/WC

et al. 2022

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Aluminium alloy (Al7075) based hybrid metal matrix composites reinforced with Silicon carbide (SiC) and Tungsten carbide (WC), at 5 wt.% each are considered for this investigation, which are developed by stir casting methodology. Material characteristic analysis both at micro and macro (Tensile strength and micro hardness) level were performed. This investigation is further progressed with drilling of the composites using titanium aluminium nitride coated carbide drill (5mm diameter) for varied point angle, feed rate and drill speed. The responses such as thrust force, surface roughness and roundness error were investigated by adopting Response Surface Methodology (RSM). Multiple linear regression (MLR) is developed along with Artificial Neural Networks (ANN) model for predicting the outputs. Scanning Electron Microscope (SEM) image reveals the uniform distribution of ceramic particles in matrix which ascertains enhanced mechanical properties. The parameters such as feed rate and point angle are found to have significant influence during drilling process. The roundness error is found higher with higher point angle which is due to the wider cutting edges in the drill bit. For unconstrained multi-objective optimization, the optimal condition obtained are 128°- point angle, 0.05 mm/rev feed rate and 1000 rpm drill speed. For constrained optimization (roundness error ≤0.05 mm), optimal conditions are 118° point angle, 0.05 mm/rev feed rate and 1000 rpm drill speed.

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An investigation on wear properties of SiC/WC strengthened aluminium alloy hybrid composites

Cited by 15 publications

References 14 publications

An analysis on CNC machined surface roughness between AA7475 and AA7475/fly ash composite

An analysis on CNC machined surface roughness between AA7475 and AA7475/fly ash composite

Effect of Al₂O₃ filler in GFRP/banana fiber composite for CNC vertical milling

Parametric analysis on drilling of aluminium alloy hybrid composites reinforced with SIC/WC

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An investigation on wear properties of SiC/WC strengthened aluminium alloy hybrid composites

Cited by 15 publications

References 14 publications

An analysis on CNC machined surface roughness between AA7475 and AA7475/fly ash composite

An analysis on CNC machined surface roughness between AA7475 and AA7475/fly ash composite

Effect of Al2O3 filler in GFRP/banana fiber composite for CNC vertical milling

Parametric analysis on drilling of aluminium alloy hybrid composites reinforced with SIC/WC

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Product

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Effect of Al₂O₃ filler in GFRP/banana fiber composite for CNC vertical milling